A Survey On Image Spam Detection Techniques

S. Khawandi, Firas Abdallah, Anis Ismail
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引用次数: 3

Abstract

Today very important means of communication is the e-mail that allows people all over the world to communicate, share data, and perform business. Yet there is nothing worse than an inbox full of spam; i.e., information crafted to be delivered to a large number of recipients against their wishes. In this paper, we present a numerous anti-spam methods and solutions that have been proposed and deployed, but they are not effective because most mail servers rely on blacklists and rules engine leaving a big part on the user to identify the spam, while others rely on filters that might carry high false positive rate.
图像垃圾检测技术综述
今天,电子邮件是一种非常重要的通信方式,它允许世界各地的人们进行通信、共享数据和开展业务。然而,没有什么比塞满垃圾邮件的收件箱更糟糕的了;也就是说,精心制作的信息违背接收者的意愿传递给大量接收者。在本文中,我们提出了许多已经提出和部署的反垃圾邮件方法和解决方案,但它们并不有效,因为大多数邮件服务器依赖于黑名单和规则引擎,将很大一部分工作留给用户来识别垃圾邮件,而其他邮件服务器依赖于可能具有高误报率的过滤器。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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